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dc.contributor.authorNavarro-Ortiz, Jorge 
dc.contributor.authorRamos-Muñoz, Juan José 
dc.contributor.authorDelgado Ferro, Félix 
dc.contributor.authorCanellas, Ferran
dc.contributor.authorCamps-Mur, Daniel
dc.contributor.authorEmami, Amin
dc.contributor.authorFalaki, Hamid
dc.date.accessioned2024-10-16T08:00:26Z
dc.date.available2024-10-16T08:00:26Z
dc.date.issued2024-09-18
dc.identifier.citationNavarro Ortiz, J. et. al. Sensors 2024, 24(18), 6022; [https://doi.org/10.3390/s24186022]es_ES
dc.identifier.urihttps://hdl.handle.net/10481/95992
dc.description.abstractFifth-generation mobile networks (5G) are designed to support enhanced Mobile Broadband, Ultra-Reliable Low-Latency Communications, and massive Machine-Type Communications. To meet these diverse needs, 5G uses technologies like network softwarization, network slicing, and artificial intelligence. Multi-connectivity is crucial for boosting mobile device performance by using different Wireless Access Technologies (WATs) simultaneously, enhancing throughput, reducing latency, and improving reliability. This paper presents a multi-connectivity testbed from the 5G-CLARITY project for performance evaluation. MultiPath TCP (MPTCP) was employed to enable mobile devices to send data through various WATs simultaneously. A new MPTCP scheduler was developed, allowing operators to better control traffic distribution across different technologies and maximize aggregated throughput. Our proposal mitigates the impact of limitations on one path affecting others, avoiding the Head-of-Line blocking problem. Performance was tested with real equipment using 5GNR, Wi-Fi, and LiFi —complementary WATs in the 5G-CLARITY project—in both static and dynamic scenarios. The results demonstrate that the proposed scheduler can manage the traffic distribution across different WATs and achieve the combined capacities of these technologies, approximately 1.4 Gbps in our tests, outperforming the other MPTCP schedulers. Recovery times after interruptions, such as coverage loss in one technology, were also measured, with values ranging from 400 to 500 ms.es_ES
dc.description.sponsorshipMinistry for Digital Transformation and of Civil Service of the Spanish Government through the 6G-CHRONOS Project under Grant TSI-063000-2021-28es_ES
dc.description.sponsorshipEuropean Union through the Recovery, Transformation, and Resilience Plan—NextGenerationEUes_ES
dc.description.sponsorshipMICIU/AEI/ 10.13039/501100011033 under Grant PID2022-137329OB-C43es_ES
dc.description.sponsorshipH2020 Research and Innovation Project 5G-CLARITY under Grant 871428es_ES
dc.language.isoenges_ES
dc.publisherMDPIes_ES
dc.rightsAtribución 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.subject5Ges_ES
dc.subjectLiFies_ES
dc.subjectWi-Fies_ES
dc.subjectMPTCPes_ES
dc.titleCombining 5G New Radio, Wi-Fi, and LiFi for Industry 4.0: Performance Evaluationes_ES
dc.typejournal articlees_ES
dc.relation.projectIDinfo:eu-repo/grantAgreement/H2020/FP7/871428es_ES
dc.rights.accessRightsopen accesses_ES
dc.identifier.doi10.3390/s24186022
dc.type.hasVersionVoRes_ES


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